Operations 4 min readUpdated May 2026

Audit your own listings

Pull every Google Maps listing you own (or claim to own), diff against your internal source of truth, and surface every location with stale hours, the wrong phone number, missing photos, duplicated NAP or a closed-but-listed status — at the scale of a multi-location operator.

Typical runtime
~5 min
Typical volume
10–500 locations
Typical cost
~$1–$2

The problem

Once a brand crosses ~30 locations, listing data drifts. A manager updates the phone on a website but not on Google. A franchisee opens new hours but forgets the Google Business profile. A location closes but the listing stays live for months — picking up bad reviews that hurt the parent brand\'s NAP score.

Manual audits are infeasible past 50 locations. Most "listing management" SaaS tools cost $300/location/year and only cover what they integrate with — they often miss duplicates and "ghost" listings created by customers. Livescraper lets you pull the raw Google Maps truth, then you diff it against your CRM / store-locator. Cost is per-row, not per-location.

How it works in Livescraper

  1. 1
    Search for your brand by name
    Set query = your brand name. Set region = the country (or "Worldwide" if you operate multinationally). Livescraper pulls every listing whose name matches your brand, including franchisee variants and "ghost" listings.
  2. 2
    Or seed with your known list
    If you already have a CSV of expected locations, upload it as queries. Livescraper looks each one up by name + city, giving you the live-on-Google version of each row.
  3. 3
    Pull the full detail set
    Make sure "include hours" and "include phone" are on (they're on by default). Run the task — typically a 200-location brand completes in under 5 minutes.
  4. 4
    Diff against your source of truth
    Open both files in Excel or load into a small Python script. Compare phone, hours, address, website. Rows that differ are your audit findings.
  5. 5
    Schedule weekly to catch drift
    Most teams set this up as a weekly cron and email differences to the operations team. The cost is small enough that running it weekly is cheaper than missing one wrong listing for a month.

Worked example

A 340-location US restaurant chain ran a Livescraper audit and found: 23 locations with hours that didn\'t match their internal POS (one had been listed as "closed Sundays" for over a year), 11 duplicate listings created by customers that they could merge or remove, 4 phone numbers that routed to a previous tenant of the building, and 2 listings for locations that had closed 6+ months prior. The audit itself ran in 4 minutes and cost $0.68. Fixing the issues clawed back an estimated 1.4% in calls-to-orders that had been quietly lost.

What you get back

One row per Google Maps listing matching your brand. Fields from Google Maps Data Scraper:

  • Identity: business_name, place_id, google_id, place_cid, full_address, google_place_url
  • Listed contact: business_phone, business_website
  • Hours: working_hours, working_hours_old_format, popular_time
  • Reputation: average_rating, total_reviews, reviews_per_score_1..5
  • Verification & ownership: is_verified, owner_title, owner_link, owner_id, business_status
  • Visual: logo_url, photos_count, photo_url, street_view
  • Categorisation: type, sub_types, category — useful for spotting miscategorised branches

Add Email & Contact Scraper to the same task if you also want to pull email_1..3,phone_1..3 and the facebook/twitter/instagram/linkedin/youtube URLs published on each location\'s website.

place_idbusiness_namebusiness_phoneworking_hoursis_verifiedtotal_reviews
ChIJN1t...A87BAcme Café — Soho+44 20 7946 0212Mon 7-7 · Tue 7-7 · …true341
ChIJP9k...B42CAcme Café — Camden+44 20 7946 0218Mon 8-6 · Tue 8-6 · …true218
ChIJQ2m...C04DAcme Café (ghost)+44 20 8123 0001(unknown)false12
Sample rows · not a real query result · your data will be richer

Best for / Not for

Best for

  • Multi-location brands (10+ locations) running their own SEO
  • Franchise systems where corporate needs visibility over franchisee listings
  • Agencies offering managed listings as a service to clients
  • M&A diligence — auditing a target's claimed locations vs reality

Not for

  • Sub-5-location businesses (manual Google Business Profile login is faster)
  • Brand-monitoring across non-Maps channels (use a SERP-tracking tool for that)
  • Realtime updates — Livescraper is point-in-time, not push-notification

FAQ

How do I find "ghost" listings that customers created?
Search by brand name without seeding from your internal list. Anything Google returns that you don't recognise is a candidate — either a customer-created listing or a former location. Each row has the place_id you can use to file a Google merge request.
Can I export to Yext / BrightLocal / Moz Local?
Yes — the CSV columns map directly to what those tools import. Most teams use Livescraper as the cheap source of truth and Yext/BrightLocal for the push side.
What's the cost at 1,000 locations weekly?
1,000 location records per week × $0.002/record = $2 per weekly audit, or $104 per year. Compare to listing-management SaaS tools that charge $300/location/year — Livescraper at this volume is roughly 3,000× cheaper.
Does the "claimed by owner" flag work for all countries?
It's exposed by Google globally but the underlying detection is more reliable in markets where Google has stronger business-claim flows (US, UK, Western Europe, Australia, Japan). For long-tail markets, treat the flag as a strong hint rather than ground truth.

Try this workflow free

500 free rows on signup. No card. No subscription. Pay only for what you scrape.

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